Augmented Industrial Maintenance (AIM): A Case Study for Evaluating and Comparing with Paper and Video Media Supports

Havard, Vincent; Baudry, David; Savatier, Xavier; Jeanne, Benoit; Louis, Anne; Mazari, B.

doi:10.1007/978-3-319-40621-3_22

Cited by 16 publications

(6 citation statements)

References 13 publications

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“…A comparative study for AR-based assisted maintenance was conducted to compare maintenance efficiency in using different assisting tools such as video instructions, AR instructions and paper manuals. The results showed that AR technology could help in productivity enhancement, maintenance time reduction and quality assurance of maintenance tasks compared to other traditional tools [233]. Similarly, Fiorentino et al [147] and Uva et al [142] conducted a series of studies comparing AR-based instructions to 2D documents for assembly, finding that AR-based instructions dramatically increased assembly efficiency [147].…”

Section: Answering Rq1 and Rq2mentioning

confidence: 97%

Study of Augmented Reality Based Manufacturing for Further Integration of Quality Control 4.0: A Systematic Literature Review

Albajez

Santolaria

et al. 2022

Applied Sciences

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Augmented Reality (AR) has gradually become a mainstream technology enabling Industry 4.0 and its maturity has also grown over time. AR has been applied to support different processes on the shop-floor level, such as assembly, maintenance, etc. As various processes in manufacturing require high quality and near-zero error rates to ensure the demands and safety of end-users, AR can also equip operators with immersive interfaces to enhance productivity, accuracy and autonomy in the quality sector. However, there is currently no systematic review paper about AR technology enhancing the quality sector. The purpose of this paper is to conduct a systematic literature review (SLR) to conclude about the emerging interest in using AR as an assisting technology for the quality sector in an industry 4.0 context. Five research questions (RQs), with a set of selection criteria, are predefined to support the objectives of this SLR. In addition, different research databases are used for the paper identification phase following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) methodology to find the answers for the predefined RQs. It is found that, in spite of staying behind the assembly and maintenance sector in terms of AR-based solutions, there is a tendency towards interest in developing and implementing AR-assisted quality applications. There are three main categories of current AR-based solutions for quality sector, which are AR-based apps as a virtual Lean tool, AR-assisted metrology and AR-based solutions for in-line quality control. In this SLR, an AR architecture layer framework has been improved to classify articles into different layers which are finally integrated into a systematic design and development methodology for the development of long-term AR-based solutions for the quality sector in the future.

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Section: Answering Rq1 and Rq2mentioning

confidence: 97%

Study of Augmented Reality Based Manufacturing for Further Integration of Quality Control 4.0: A Systematic Literature Review

Albajez

Santolaria

et al. 2022

Applied Sciences

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“…Using AR technology, a process such as a disassembly traditionally considered a non-value-added operation can be optimized to be cost and time-efficient. An evaluation study by Havard et al (2016) has concluded that AR technology can reduce maintenance time with the improved quality compared to using hardcopy manual or video instructions [67]. Furthermore, Chang et al (2017) proposed an AR-guided product disassembly framework that conveys disassembly guidance information intuitively to the human operators.…”

Section: Augmented Realitymentioning

confidence: 99%

Role of Standards as an Enabler in a Digital Remanufacturing Industry

2022

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There is plenty of research describing remanufacturing (reman) as the ultimate form of recycling. However, few studies have shown how standards that provide universally accepted definitions and practices can shift towards digitization and how digital technology can act as a catalyst for digital reman. Furthermore, there is no clear direction as to why and how standards and digital technology should work together in reman. Only minimal research (one article from the SCOPUS database) has explored the intersection of these three areas: reman challenges, standards, and digital technology. Many challenges that reman companies face prevent them from successfully transitioning to sustainable production methods. The challenges include high cost of resources, complex parts design, limited core availability, lack of internationally accepted definitions and protocols, poor design of reverse logistics networks, and poor consumer perceptions. On the other hand, digital technology can act as an enabler fueling environmental resilience through innovation. This paper studies how standards can play a role in helping digital technology solve reman challenges, thereby achieving the United Nations Sustainable Development Goal and providing significant opportunities for innovation for small and large enterprises transitioning towards digital reman. The current study is validated by highly experienced reman professionals using the analytical hierarchical process. It is intended to help practitioners assess their organization’s current manufacturing practices and improve resource productivity and business growth using the identified standards and technologies. Three-dimensional printing was found to have the most potential in solving reman challenges. Surprisingly, the Internet of Things ranked low despite lacking information on used products or cores being a significant challenge for suppliers.

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“…Consumer environment 508 unique records were identified from the search criteria: title or abstract contains ("Augmented Reality" OR "Mixed Reality") AND ("Maintenance" OR "Repair") published since 2013. Once records which were irrelevant, or presented no usable data on user performance were filtered out, 6 remained [6,7,[15][16][17][18]. All 6 presented data on the time to complete the specified operation for both an AR instruction and paper instruction.…”

Section: Effect Size Meta-analysismentioning

confidence: 99%

Augmented Instructions: Analysis of Performance and Efficiency of Assembly Tasks

Smith

Semple

Evans

et al. 2020

Lecture Notes in Computer Science

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Augmented Reality (AR) technology makes it possible to present information in the user's line of sight, right at the point of use. This brings the capability to visualise complex information for industrial maintenance applications in an effective manner, which typically rely on paper instructions and tacit knowledge developed over time. Existing research in AR instruction manuals has already shown its potential to reduce the time taken to complete assembly tasks, as well as improving accuracy [1][2][3]. In this study, the outcomes of several aspects of AR instructions are explored and their effects on the chosen Key Performance Indicators (KPIs) of task completion time, error rate, cognitive effort and usability are assessed. A standardised AR assembly task is also described for performance comparison, and a novel AR experimental tool is presented, which takes advantage of the flexibility of internet connected peripherals, to explore various different aspects of AR app design to isolate their effects. Results of the experiments are given here, providing insight into the most effective way of delivering information and promoting interaction between user and computer, in terms of user performance and acceptance.

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Augmented Industrial Maintenance (AIM): A Case Study for Evaluating and Comparing with Paper and Video Media Supports

Cited by 16 publications

References 13 publications

Study of Augmented Reality Based Manufacturing for Further Integration of Quality Control 4.0: A Systematic Literature Review

Study of Augmented Reality Based Manufacturing for Further Integration of Quality Control 4.0: A Systematic Literature Review

Role of Standards as an Enabler in a Digital Remanufacturing Industry

Augmented Instructions: Analysis of Performance and Efficiency of Assembly Tasks

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